Join us to shape tomorrow

About the Role

A Senior UI/UX Designer is a top-tier specialist in creating exceptional user interfaces and experiences. They exhibit mastery in user-centered design principles, advanced design tools, and prototyping techniques. This role involves leading design initiatives, crafting innovative design strategies, refining complex user journeys, and collaborating closely with cross-functional teams. Senior UI/UX Designers contribute to cutting-edge design concepts, tackle intricate design challenges, and stay ahead of design trends to deliver impactful and visually stunning digital experiences that resonate with users.

Responsibilities

• Investigating user experience design requirements for our suite of digital assets.
• Developing and conceptualizing a comprehensive UI/UX design strategy for the brand.
• Producing high-quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes.
• Designing UI elements and tools such as navigation menus, search boxes, tabs, and widgets for our digital assets.
• Testing UI elements such as CTAs, banners, page layouts, page designs, page flows, and target links for landing pages.
• Collaborating with the marketing team and internal and external designers to ensure the creation and delivery of tailored experiences for the digital user.
• Providing advice and guidance on the implementation of UX research methodologies and testing activities to analyze and predict user behavior.
• Adhering to style standards in typography and graphic design.
• Delegating tasks and mentoring junior designers.
• Able to manage team members/ UI/UX designers on non-technical aspects as well as conducting 1:1 with them. Design and explain their growth plan within the organization.
• Follow secure development, testing and deployment guidelines and practices to adhere to the overall security of the system under consideration.

Requirements

• Proven work experience of 4+ years as a UI/UX Designer or similar role.
• Portfolio of design projects.
• Up-to-date knowledge of design softwares like Figma, Adobe Illustrator, and Photoshop.
• Team spirit; strong communication skills to collaborate with various stakeholders.
• Good time-management skills.
• BSc in Design, Computer Science, or relevant field.

About the Role

We are hiring a Senior Backend Engineer (Python / AWS) to build a production automated order placement system for an AI-driven systematic trading client.

The system turns trading signals into broker orders, tracks every order through its lifecycle and feeds fill results back to the client's portfolio optimizer. It must run reliably and safely, with a full audit trail.

Responsibilities

1. Order management and trading logic

• Design and build the order management layer: an explicit order state machine (new, sent, partially filled, filled, cancelled, rejected, expired).
• Make order submission idempotent, so retries and reconnects never create duplicate orders.
• Build a pluggable broker adapter for submit, cancel, replace, status and fill events over REST, WebSocket or FIX APIs.
• Implement pre-trade risk checks: position and notional limits, per-order size limits, restricted lists, price sanity checks and a manual plus automatic kill switch.
• Aggregate fills into positions and residual quantities, and pass a clean state snapshot to the optimizer each cycle.
• Implement configurable policies for unfilled orders: cancel, re-price or carry over.

2. Reliability, reconciliation and audit

• Build intraday and end-of-day reconciliation of orders, fills and positions against broker records, with break reports and alerts.
• Maintain an immutable, event-sourced audit trail of every signal, order, broker message and fill.
• Handle broker rate limits, outages and undocumented behaviour with retries, backoff and stale-order detection.
• Test partial fills, rejects and disconnects end to end in paper trading before any live order is placed.

3. Backend engineering on AWS

• Build asynchronous Python services integrated with the client's existing codebase.
• Use Redis for fast order and position state, caching, locks and messaging.
• Deploy on AWS (ECS, Lambda or EKS) with the platform engineer, using Terraform, CI/CD and separate dev, paper and prod environments.
• Add metrics, tracing and structured logs, with dashboards and alerts for latency, errors and stuck orders.

4. Ownership and collaboration

• Take part in discovery and the architecture proposal, and raise concerns about design or requirements early.
• Write runbooks and architecture docs.
• Review code and share best practices with the team.

Requirements

• 5–7+ years of experience in backend development, with production systems you have owned end to end.
• B.E. / B.Tech / B.S. in Computer Science or a related field. Candidates without these degrees but with strong experience in the areas below will be considered.
• Strong Python skills, including asyncio, typing, testing and a modern framework such as FastAPI.
• Hands-on production experience with Redis: data structures, pub/sub or streams, distributed locks and persistence trade-offs.
• Strong AWS experience (ECS/EKS, Lambda, SQS/SNS, RDS, IAM, Secrets Manager, CloudWatch) and Infrastructure as Code (Terraform, CloudFormation or equivalent).
• Solid work with PostgreSQL or another relational database, including transactions, consistency and schema design for financial records.
• Proven design of distributed, event-driven systems: idempotency, exactly-once or at-least-once processing, retries, failure handling and state machines.
• Finance knowledge is a must: positions, P&L, notional exposure, portfolio rebalancing, and how trades are booked and settled.
• Trading knowledge is a must: order lifecycle, order types (market, limit, stop), partial fills, slippage, pre-trade risk controls and broker reconciliation.
• Hands-on experience integrating with at least one broker or exchange API.
• Experience with Docker, CI/CD pipelines and observability tools (Prometheus/Grafana, Datadog or CloudWatch).
• An ownership mindset: you drive work to production, raise risks early and write clear documentation.
• Experience mentoring engineers and running code reviews.
• Clear written and spoken English, for working directly with the client's engineering leadership.

Nice to have

• Prior work at a hedge fund, prop trading firm, brokerage, fintech or quant platform.
• Built an order management system (OMS) or execution management system (EMS) that went live.
• Exposure to systematic or quantitative trading: signals, portfolio optimizers, backtesting and paper trading.
• Execution-quality work: order slicing (TWAP/VWAP), slippage and transaction-cost analytics.
• Apache Kafka or Kinesis for event streaming.
• Awareness of audit, compliance and data-retention needs in regulated trading.

About the Role

We are looking for a Fullstack Engineer (backend heavy)  who designs, develops, and maintains computer software using creativity and technical skills and applies the principles of software engineering to help solve new and ongoing problems for an organization.

Responsibilities

• Design, develop, test, and deploy full-stack web applications.
• Build and maintain backend services and APIs using Python and/ or Node.js, with a focus on performance, security and maintainability.
• Develop responsive and user-friendly interfaces using React and/ or Angular.
• Design and optimize database schemas, queries, and data models.
• Review AI-generated code for correctness, security, edge cases, test coverage and maintainability, and give clear, actionable feedback.
• Collaborate with product, design, and other engineering teams to deliver reliable, high-performance solutions.
• Work with CI/CD pipelines, automated testing, and deployment workflows.
• Evaluate and prototype open-source tools or new technologies when required.
• Ensure adherence to secure coding practices and data protection standards.

Requirements

• B.E.\B.Tech\B.S. candidates with significant prior experience in the fields above will be considered.
• 3+ years of experience in full-stack development.
• Strong hands-on experience in backend development using Python.
• Experience in frontend development using Angular and/ or React.
• Experience working with relational databases such as PostgreSQL or MySQL, and/or NoSQL databases such as MongoDB or DynamoDB.
• Good to have experience with AWS/GCP.  
• Strong logical and analytical skills to debug and reason through complex full-stack systems, understanding how components function and interact end-to-end.
• Strong understanding of software design principles, data structures, and algorithms.
• Experience working with REST APIs and modern web application architectures.

About the Role:

The Senior LLM Engineer will lead the design, development, and deployment of complex, autonomous agentic AI solutions within production environments, working across multi-agent frameworks and orchestrating large language models. The position is or scalable applied AI, with a focus on delivering robust and fair agentic systems that deliver organizational value, autonomy, and operational efficiency.

Responsibilities:

• Architect, design, and deploy scalable agentic AI systems that coordinate LLMs, multi-agent collaboration, and external tool integrations through advanced tool calling.
• Develop, maintain, and optimize AI-driven pipelines utilizing frameworks such as LangGraph, ADK and LangChain, enhancing data inference and orchestration.
• Integrate agentic AI solutions into enterprise workflows, automating complex business functions (e.g., customer service, supply chain, decision support).
• Proactively address system evaluation, debug AI agent workflows, and ensure compliance with emerging regulatory and ethical guidelines.
• Promote security, transparency, fairness, and reliability across all deployed agentic systems.
• Mentor junior engineers, contribute to cross-functional teams, and champion the adoption of state-of-the-art LLM technologies and practices.

Requirements

• At least 1 year of experience with LangGraph (must have)
• 4+ years of overall experience working on industry projects
• Experience with LangChain, and other agentic orchestration frameworks.
• Deep proficiency in designing and deploying multi-agent frameworks and sophisticated tool-calling or API orchestration pipelines.
• Design and implement continuous monitoring systems for autonomous AI agents, ensuring performance, reliability, adherence to ethical guardrails, and optimal cost/latency in production.
• Develop and execute scalable LLM evaluation methodologies (including code-based, LLM-as-a-Judge) to rigorously assess model quality, safety, and goal alignment.
• Proficiency in Python
• Familiarity with retrieval-augmented generation (RAG) and modern vector databases (Pinecone, Weaviate).
• Experience with cloud platforms (AWS, GCP, Azure), MLOps practices, and production-grade deployment.
• Strong understanding of data privacy, model security, and compliance with current AI regulations and frameworks.

Preferred Skills

• Experience with Hugging Face, Neo4j, or knowledge graphs.
• Background in autonomous decision-making systems, anomaly detection, and dynamic process optimization.
• Track record of publishing, presenting, or open-sourcing agentic AI innovations.
• Strong problem-solving aptitude, collaborative mindset, and excellent communication skills.

About the Role

We are looking for a highly skilled Senior Backend Engineer  to design, develop, and scale robust backend platforms and applications. This role requires strong Python proficiency, excellent code comprehension skills, and the ability to identify subtle logical flaws, shortcuts, inaccuracies, and quality issues in AI-assisted software development workflows.

Responsibilities

1. Backend Engineering & Platform Development

• Design, develop, and maintain scalable backend services using Python, FastAPI, and asynchronous microservices architectures.
• Build and optimize data-intensive applications using PostgreSQL, Redis, MongoDB or equivalent technologies at production scale.
• Develop high-performance APIs and distributed systems to support AI-driven applications.

2. Code Review & Evaluation

• Review and analyze AI-generated code for correctness, maintainability, efficiency, and security.
• Evaluate code quality, logic, and implementation choices across various Python-based projects.
• Identify shortcuts, hallucinations, hidden assumptions, and incomplete implementations generated by AI systems.
• Validate whether generated code meets functional and technical requirements.

3. Benchmark Validation

• Review and validate agentic workflows and benchmark results.
• Verify the reliability and correctness of AI-generated evaluations and testing outcomes.
• Ensure benchmark methodologies accurately measure intended capabilities.

4. Technical Analysis

• Perform manual verification and root-cause analysis when automated or AI-assisted approaches fail.
• Investigate complex code behaviors and implementation decisions.
• Improve Agent efficiency in identifying user intent and providing actionable responses.

Requirements

• 4+ years of experience in backend development.
• B.E.\B.Tech\B.S. Candidates' entries with significant prior experience in the fields above will be considered.
• Strong experience in Python development.
• Excellent code reading and code comprehension abilities.
• Ability to identify logical errors, edge cases, and implementation flaws.
• Strong analytical and problem-solving skills.
• Hands-on experience with asynchronous microservices architectures.
• Expertise in PostgreSQL, Mongodb,  Redis, and distributed backend systems.
• Strong understanding of CI/CD pipelines and DevOps best practices.

Good to have

• Android debugging tools (ADB)
• Web technologies (DOM, JavaScript, Browser APIs)
• Web security fundamentals
• Protocol Buffers (Protobuf)
• TypeScript

About the Role:

The individual will lead the design, development, and deployment of complex, autonomous agentic AI solutions within production environments, working across multi-agent frameworks and orchestrating large language models. The position is for scalable applied AI, with a focus on delivering robust and fair agentic systems that deliver organizational value, autonomy, and operational efficiency.

Responsibilities:

• Architect and deploy scalable multi-agent AI systems with advanced tool integration.
• Build and optimize AI pipelines using frameworks like LangGraph, ADK, and LangChain.
• Integrate agentic AI into enterprise workflows to automate complex business processes.
• Review and execute code written by AI agents to ensure correctness and maintainability.
• Review agent configurations, prompts, and tool wrappers to prevent behavioral or performance regressions.
• Audit agent-generated ML workflows to catch flaws like target leakage.
• Launch, monitor, and debug distributed training jobs and auto-repair loops.
• Design evaluation suites and end-to-end scenarios for non-deterministic agents.
• Debug agent workflows and align systems with regulatory and ethical standards.
• Ensure security, transparency, fairness, and reliability across AI systems.
• Mentor engineers and promote modern LLM practices across teams.

Requirements

• 4+ years of industry experience, including 1+ years with agentic orchestration frameworks (LangChain, LangGraph, ADK).
• Proficiency in multi-agent framework design, tool calling, API orchestration, and vector databases/RAG.
• Experience with continuous monitoring, telemetry, and observability tooling for non-deterministic AI agents.
• Strong background in LLM evaluation methodologies (code-based, LLM-as-a-Judge) and end-to-end testing.
• Strong Python skills (type hints, absl, absltest) and senior-level code/prompt reviewing capabilities.
• Practical knowledge of the ML lifecycle (data preprocessing, feature engineering, model design, JAX/TensorFlow).
• Experience launching and debugging distributed training jobs across cloud platforms (AWS, GCP, Azure).
• Knowledge of MLOps practices, data privacy, model security, and AI compliance regulations.

Preferred Skills:

• On-device ML (TFLite, Edge TPU, Gemini Nano, latency and power profiling).
• Experience with Hugging Face, Neo4j, or knowledge graphs.
• Background in autonomous decision-making systems, anomaly detection, and dynamic process optimization.
• Track record of publishing, presenting, or open-sourcing agentic AI innovations.
• Strong problem-solving aptitude, collaborative mindset, and excellent communication skills.

Location: Ahmedabad/Pune

About the Role

We are looking for a Senior Data Engineer with strong hands-on experience in dbt, Databricks, AWS, and Python. You will design and build scalable data platforms using Medallion architecture. You will also improve existing, imperfect pipelines and make them clean, reliable, and maintainable.

Key Responsibilities

1. Data Pipeline Engineering

• Design and implement Medallion architecture (Bronze, Silver, Gold layers) to deliver clean, reliable, analytics-ready data.
• Build and maintain transformation workflows in dbt, including modeling, testing, and documentation.
• Develop and optimize data processing workloads on Databricks.
• Build scalable, fault-tolerant pipelines with proper validation, monitoring, and error handling.

2. Pipeline Architecture Review & Refinement

• Assess existing pipelines, including messy or poorly documented legacy code, and refactor them into clean, well-tested solutions.
• Improve pipeline architecture for scalability, reliability, performance, and cost efficiency.
• Identify technical debt and fix it without disrupting production workloads.

3. Python Development & Automation

• Develop production-grade data engineering applications and automation in Python.
• Build reusable libraries and utilities for data ingestion and processing.
• Implement logging, monitoring, error handling, and testing for pipelines and services.

4. Cloud (AWS)

• Work with AWS services (S3, Glue, Lambda, Redshift, CloudWatch) to store, process, and move data securely.
• Apply sound cloud, security, and access-control practices to data workloads.

5. Collaboration & Ownership

• Work closely with data engineers, software engineers, and business stakeholders.
• Own initiatives from design through production deployment and ongoing support.

Requirements

Requirements

• 5+ years of experience in Data Engineering or a related field.
• Strong hands-on experience with dbt.
• Strong SQL skills.
• Hands-on experience with Databricks.
• Working experience with AWS.
• Strong proficiency in Python, including building production-grade applications and data pipelines.
• Proven experience designing and implementing Medallion architecture.
• Ability to work with messy or legacy code and refine pipeline architecture.
• Strong understanding of data quality, monitoring, and operational best practices.
• Excellent communication skills and ability to work independently.

Work Location: Ahmedabad/Pune

Contact us to apply

If you would like to apply for this role, send your resume to careers@infocusp.com.

Benefits