About TCS:

Join Tata Consultancy Services, Asia Pacific and be part of an organization committed to sustainable development for our future. TCS follows the Tata group philosophy of building sustainable businesses that are rooted in the community and demonstrate care for the environment. Our unique values position us to combine a purpose-driven worldview with digital innovation, collaborating with customers, communities and governments to lead and shape innovative solutions for a sustainable future. TCS has been carbon neutral in its operations across 11 countries, 12 delivery centres and 18 offices in Asia Pacific since 2022. This is only the initial stage in TCS’ journey as we strive to achieve long-term net zero emissions by 2030.

Corporate sustainability is embedded in our triple-bottom-line, focusing on people, the planet, and our purpose. Our offices are designed with eco-friendly features that significantly reduce our carbon footprint and enhance energy efficiency. We actively champion green initiatives, such as promoting paperless operations, implementing energy-efficient practices, and fostering employee engagement in sustainability efforts. When you become part of the TCS family, you will play an essential role dedicated to innovation, excellence, and crafting a brighter, greener future together. Join us and be a part of our mission to drive sustainability through technology and talent at Tata Consultancy Services, APAC today.

Role: Python Developer – Agentic AI Platform

Location: Penang, Malaysia.

Core Hiring Bar (Non-Negotiable):

Ability to independently read, understand, and modify moderately complex Python modules (~300+ lines)

Comfortable filling knowledge gaps through documentation and reasoning (not dependent on AI-assisted coding tools)

Demonstrated ability to interpret existing systems and implement changes with minimal onboarding.

Key Responsibilities:

Develop and enhance backend services and agentic workflows for the AI platform
Build stateful, multi-step LLM pipelines and orchestration logic
Design, optimize, and maintain retrieval and scoring systems
Debug production issues using logs, traces, and system behavior
Collaborate across teams to deliver scalable and reliable AI-driven solutions
Implement incremental changes with strong testing and validation practices

Technical Requirements:

Python (Senior Level)
Writes clean, idiomatic Python using:
Type hints, data classes, Pydantic
Generators and context managers
Strong understanding of:
Async/await and concurrency models
Proficient in Python standard libraries (e.g., pathlib, json, re, collections)
Able to modify existing complex systems independently

Backend Development (FastAPI) :

Experience building and extending Fast API services
Strong understanding of:
Request lifecycle
Dependency injection and middleware
Multi-worker deployments and shared state (e.g., Redis)
Able to diagnose issues using logs and traces (minimal debugger reliance)

LLM Engineering (Applied):

Experience building production-grade LLM workflows
Strong in:
Deterministic prompt design (structured outputs, low/no temperature)
Handling failure modes (timeouts, malformed outputs)
Understanding of RAG systems:
Chunking, embeddings, similarity scoring

Workflow Orchestration (LangGraph or Equivalent) :

Experience with stateful orchestration frameworks preferred
Must be able to quickly:
Learn graph/state concepts
Implement multi-step workflows within 1–2 weeks

Retrieval & Scoring Systems:

Experience with ranking/scoring methods (e.g., BM25, hybrid search)
Ability to tune:
Thresholds, weighting, precision vs recall trade-offs
Capable of building realistic test datasets

Diagnostics & Log Processing :

Familiar with log ingestion and analysis pipelines
Understands:
Chunking strategies
Pattern extraction vs LLM reasoning
When to use deterministic vs AI-based parsing

Infrastructure & Runtime:

Hands-on experience with:
Docker / Docker Compose (volumes, dependencies, health checks)
Debugging container runtime issues
Working knowledge of:
Redis (basic operations, TTL, persistence)
Enterprise networking concepts (e.g., proxies)

Frontend (Working-Level) :

Ability to work with HTML + Vanilla JavaScript
Comfortable with:
DOM manipulation
Fetch APIs and event handling
Able to implement UI changes from requirements (no design dependency)

Work Style Expectations:

Strong code-first discipline (understands design before coding)
Built-in focus on:
Testing and validation
Log-driven debugging
Writes clean, incremental changes with clear commits
Performs self-review against acceptance criteria
Asks focused, implementation-driven questions

Experience & Seniority :

Level: Mid to Senior Engineer
Experience:
~4–8 years in Python development
Proven track record delivering production systems
Experience with LLM-based or AI platforms preferred

Ideal Candidate Profile:

Highly independent problem-solver
Strong systems thinker (not just feature coder)
Comfortable working in low-AI-assist environment
Bias toward execution, debugging, and delivery quality

Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.

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