About the role
We're looking for a Python Developer who has built AI workflows end to end and
understands what separates a working demo from a production system: retrieval that
returns the right context, guardrails that hold, evaluation that tells you whether a change
helped or hurt, and pipelines that stay reliable at volume.
This role sits at the centre of ourAI-assisted automation and scaling efforts.
Key Responsibilities
Design, build, and operate AI workflows in Python, from prototype through to
production
Build RAG (Retrieval-Augmented Generation) pipelines — chunking, embeddings,
vector search, retrieval quality, and context management
Implement guardrails and safety controls around LLM outputs: input/output
validation, grounding, hallucination mitigation, prompt-injection defence, and
fallback behaviour
Build evaluation harnesses that measure output quality objectively rather than by
impression
Build AI-driven automation that removes repetitive manual work, and scale it
reliably as usage grows
Integrate LLMs and ML models into production: API endpoints, inference services,
orchestration, and supporting pipelines
Work with AI orchestration and agent frameworks, and integrate with external tools
and services
Instrument AI systems for observability — token usage, latency, cost, failure modes,
and output quality over time
Collaborate with data scientists and ML engineers to take models from notebook to
production
Work with data science and data engineering tools (Pandas, NumPy, Jupyter) for data
manipulation, analysis, and validation
Stay updated with a fast-moving AI ecosystem, and bring back what's worth adopting
Required Skills & Qualifications
3+ years of backend development experience in Python
Hands-on AI workflow experience
Strong command of Python and at least one Python web framework (FastAPI, Django,
or Flask)
Familiarity with MySQL and BigQuery, including schema design and query
optimization
Working knowledge of core AI engineering concepts: RAG, embeddings, vector
databases, guardrails, context management, and evaluation
Hands-on experience with AI tools and frameworks — LLM APIs, orchestration
frameworks (LangChain, LlamaIndex, or similar), and vector stores
Experience building AI-assisted automation and scaling it beyond a proof of concept
Solid understanding of RESTful APIs, HTTP, JSON, and integration with external
services
Experience implementing authentication, authorization, and security best
practices across services and APIs
Proven ability to optimize applications for performance, scalability, and
maintainability
Strong problem-solving, analytical, and debugging skills
Logical thinking and a solution-oriented approach — able to break down an
unfamiliar problem and work toward a workable answer
Excellent communication and collaboration abilities, and the ability to work
effectively with cross-functional teams — frontend, product, QA, data, and operations
Ability to learn new technologies quickly and adapt as business requirements change
B.E. / B.Tech / MCA or equivalent. Equivalent practical experience will be considered.
Good to Have (Advantage)
Experience with Docker or containerized deployments
Experience with local / open-source LLMs — running, optimizing, or integrating
models such as LLaMA, Mistral, or Gemma using serving tools like Ollama or vLLM,
in on-prem or containerized environments
How we work
We embrace AI-assisted engineering. We'd like you to use AI pair-programming tools
(Claude Code, Cursor, GitHub Copilot, or similar) as a force multiplier — while retaining
full ownership, review, and understanding of the code you ship.
Pay: From ₹800,000.00 per month
Benefits:
- Health insurance
- Provident Fund
Ability to commute/relocate:
- Kochi, Kerala: Reliably commute or planning to relocate before starting work (Required)
Application Question(s):
- What is your expected CTC?
Experience:
- Python: 3 years (Required)
Work Location: In person
