Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Large Language Models (LLMs)
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
As a Custom Software Engineer Lead, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with contemporary development frameworks and following agile methodologies to ensure the delivery of scalable and efficient software that meets unique business requirements. Collaboration with team members and adapting to evolving project needs are integral parts of the daily workflow, fostering innovation and continuous improvement in software products.
machines — conditional routing, self-healing retry loops, and supervisor / sub-agent
Engineer retrieval-augmented generation (RAG) systems: chunking, embedding

Model knowledge graphs (entities, relationships, ontologies) and build hybrid

Build LLM evaluation harnesses — golden datasets, automated scoring, regression





Serve and optimize on-prem LLMs via vLLM alongside cloud OpenAI-compatible

Instrument the AI stack for observability — token usage, latency percentiles, cost

Core AI & LLM
Python 3.10+ — production async code, FastAPI,
LLM engineering — prompt design, token budgeting, multi-model routing, structured
Agent frameworks — LangGraph / LangChain (state machines, tool calling,

LLM evaluation — eval datasets, automated scoring, regression testing,

Dual-tier agent memory — Redis (L1) + mem0 (L2), semantic recall, context
DAG workflow compilation — topological sorting, cycle detection, parallel execution

(RAG architecture — chunking strategies, re-ranking, context assembly, grounding
Vector databases — Qdrant, Pinecone, or Weaviate embedding pipelines and
7-8 years skilled software engineering experience, with 3+ years building LLM,

agent, or ML systems in production ,5+ years on Python .
~ Strong async Python and hands-on experience with an agent framework

(Demonstrated experience with RAG, vector search, or knowledge-graph retrieval
Track record of taking AI features from prototype to grounded, evaluated,
The candidate should have minimum 7-8 years of experience in Machine Learning (ML).
This position is based at our Bengaluru office.
A 15 years full time education is required.

📌 Software Developer - AI/ ML (Bengaluru)
🏢 Accenture
📍 Bengaluru