Principal Applied AI Engineer

Zycus Infotech

6 - 11 years

22 - 37 Lacs

pune bengaluru mumbai (all areas)

Posted:1 week ago| Platform:

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Skills Required

artificial intelligence generative ai machine learning

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

Person has to be hands-on and an individual contributor with leadership impact
Design and implement
agentic architectures
: single- and multi-agent, hierarchical flows, and tool-rich execution.
Build
production agents
for domain workflows (retrieval, reasoning, tool use, approvals, human-in-the-loop).
Own
context engineering
: structuring prompts, memory, retrieval, grounding, and evaluation loops.
Make agents scale, concurrency, state & persistence, streaming, evaluation/telemetry, and cost controls.
Partner with product/domain teams to convert ambiguous problems into shipped agents with measurable outcomes.

Preferred candidate profile

715 years of hands-on experience in software engineering, with at least 3 years in
applied AI, LLMs, or agentic system design
.
Proven experience in building and deploying
enterprise AI applications
ideally workflow, conversational, or decision agents.
Strong proficiency in
Python, LangChain, LlamaIndex, or similar frameworks
for agentic orchestration.
Deep understanding of
LLMs, embeddings, retrieval-augmented generation (RAG), and multi-agent systems
.
Solid experience with
cloud platforms (AWS, Azure, GCP)
and
MLOps tools
for scalable AI deployment.
Strong grasp of
data engineering concepts
, including vector stores (Pinecone, FAISS), document indexing, and contextual retrieval.
Ability to lead through influence guiding technical decisions, mentoring peers, and driving innovation across teams.

Must Have:

7+ years
total software engineering; strong fundamentals in
Java or Python or JS/TS
(any stack: Java stack, MEAN, or Python).
Demonstrated track record of
building and deploying agents
(workflow/autonomous/chat) with tools & external systems.
Comfort with
agent frameworks/patterns
(e.g., graph/workflow agents, crew-style collaboration),
tooling protocols
, and
RAG-plus grounding
.
Deep
prompt/context engineering
skills; knows when to use structure, when to retrieve, and how to evaluate.

Why You Should Join Zycus

Work on
cutting-edge applications
powered by
AI-assisted development workflows
.
Collaborate with a
forward-thinking engineering team
that values innovation and continuous learning.
Access to
premium AI development tools
to boost productivity and code quality.
Competitive compensation, flexible work arrangements, and opportunities for
career advancement
.

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