Full Stack Developer: Agentic Systems

MulticoreWare Pvt Ltd · IT Services & Consulting

Chennai, India
On-site
Posted about a month ago
Software Engineering
Full time

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About the job

We are looking

for a Full Stack Developer – Agentic Systems to build the product layer for

AI-native workflows by turning LLMs, agents, memory, and external tools into

reliable, production-grade user experiences. Design and ship systems where

agents can plan, execute multi-step tasks, recover from failures, maintain

context, and deliver consistent value across sessions.

Responsibilities:

Build end-to-end product features across

frontend, backend, and AI integrations

Design agent workflows that support planning,

tool use, failure handling, and recovery

Integrate LLMs, memory, RAG systems, and external

tools into production systems

Build real-time AI interactions using streaming,

partial results, and low-latency responses

Improve reliability, observability, fallback

logic, and production behaviour of AI workflows

Collaborate with ML, backend, product, and design

teams to ship features from concept to production

Iterate on AI workflows based on user behaviour,

evaluation results, and observed failure modes

Establish reusable patterns for building scalable

agentic systems.

Requirements

Education:

Relevant

degree in Computer Science, Information Technology, Electronics, or a related

field.

Technical Skills (Must haves):

Next.js, Node.js, Python

SQL and NoSQL databases

API design and backend architecture

Docker

LLM integration using OpenAI, Anthropic, or

open-source models

Agent workflows, tool use, memory, or RAG-based

systems

Streaming responses and real-time AI interaction

patterns

Agent frameworks such as LangChain, LlamaIndex,

CrewAI, AutoGen, or similar

Vector databases such as Pinecone, Weaviate,

Qdrant, Milvus, or pgvector

Observability, reliability, fallback handling,

and debugging in production

Evaluation frameworks for LLM or agent

performance

Workflow orchestration systems

Need to have (Can be bridged):

Strong understanding of system design, APIs, and

production-grade architecture

Ability to work through ambiguity and make

pragmatic engineering decisions

Strong ownership mindset with experience taking

features from idea to production

Good to have (Not essential):

Familiarity with prompt engineering, retrieval

strategies, and context management

Experience building AI products beyond chat-based

interfaces

Preferred Qualifications (Optional):

Experience collaborating with ML, backend,

product, and design teams to ship AI-native features from concept to

production.

Apply on MulticoreWare Pvt Ltd