Scan your resume against ATS criteria for this Agentic/AI lead/architect with Claude/code/LLM skills1 role at Fa Ewjt Saasfaprod1.
for
, including:
Single-agent and multi-agent systems
Tool-calling and function orchestration
Memory, planning, and execution layers
Own architectural decisions for
, including model selection, deployment patterns, and cost–latency trade-offs.
incorporating:
Guardrails and policy enforcement
Data privacy, PII handling, and prompt safety
Controlled tool execution in regulated environments
, covering:
Data ingestion and curation pipelines
Chunking and embedding strategies
Vector databases and hybrid search
Evaluation and feedback loops
Partner with Data Engineering teams to ensure
for AI-driven systems.
of GenAI systems:
API-first design (FastAPI / REST / event-driven)
CI/CD for LLM workflows
Monitoring, evaluation, and cost tracking
Establish
for faster adoption across EXL accounts.
(Azure / AWS / GCP) for scalable and compliant AI deployments.
for GenAI across delivery teams and client engagements.
Mentor senior engineers, tech leads, and architects on agentic patterns and advanced LLM engineering.
Partner with clients, product owners, and domain SMEs to shape
.
of total experience with
, and
.
Deep hands-on experience with:
Other enterprise LLMs (OpenAI, Mistral, LLaMA, etc.)
Strong command over:
Prompt engineering, prompt orchestration, and agent workflows
Tool/function calling, planning–execution loops
LLM and RAG evaluation techniques (precision, grounding, faithfulness)
Proven experience designing:
Agentic AI systems (ReAct, Plan-and-Execute, multi-agent setups)
RAG architectures using vector databases (FAISS, Pinecone, Chroma, etc.)
Strong understanding of
.
engineering (production-grade systems).
on Azure, AWS, or GCP.
, including:
Data pipelines / ETL / ELT / orchestration
ML or NLP model lifecycle
Analytics platforms or data product engineering
Fine-tuning and adaptation strategies (LoRA / PEFT / prompt tuning).
Experience with
platforms and observability stacks.
(Insurance, Healthcare, BFS).
.
for
, including:
Single-agent and multi-agent systems
Tool-calling and function orchestration
Memory, planning, and execution layers
Own architectural decisions for
, including model selection, deployment patterns, and cost–latency trade-offs.
incorporating:
Guardrails and policy enforcement
Data privacy, PII handling, and prompt safety
Controlled tool execution in regulated environments
, covering:
Data ingestion and curation pipelines
Chunking and embedding strategies
Vector databases and hybrid search
Evaluation and feedback loops
Partner with Data Engineering teams to ensure
for AI-driven systems.
of GenAI systems:
API-first design (FastAPI / REST / event-driven)
CI/CD for LLM workflows
Monitoring, evaluation, and cost tracking
Establish
for faster adoption across EXL accounts.
(Azure / AWS / GCP) for scalable and compliant AI deployments.
for GenAI across delivery teams and client engagements.
Mentor senior engineers, tech leads, and architects on agentic patterns and advanced LLM engineering.
Partner with clients, product owners, and domain SMEs to shape
.
of total experience with
, and
.
Deep hands-on experience with:
Other enterprise LLMs (OpenAI, Mistral, LLaMA, etc.)
Strong command over:
Prompt engineering, prompt orchestration, and agent workflows
Tool/function calling, planning–execution loops
LLM and RAG evaluation techniques (precision, grounding, faithfulness)
Proven experience designing:
Agentic AI systems (ReAct, Plan-and-Execute, multi-agent setups)
RAG architectures using vector databases (FAISS, Pinecone, Chroma, etc.)
Strong understanding of
.
engineering (production-grade systems).
on Azure, AWS, or GCP.
, including:
Data pipelines / ETL / ELT / orchestration
ML or NLP model lifecycle
Analytics platforms or data product engineering
Fine-tuning and adaptation strategies (LoRA / PEFT / prompt tuning).
Experience with
platforms and observability stacks.
(Insurance, Healthcare, BFS).
.
for
, including:
Single-agent and multi-agent systems
Tool-calling and function orchestration
Memory, planning, and execution layers
Own architectural decisions for
, including model selection, deployment patterns, and cost–latency trade-offs.
incorporating:
Guardrails and policy enforcement
Data privacy, PII handling, and prompt safety
Controlled tool execution in regulated environments
, covering:
Data ingestion and curation pipelines
Chunking and embedding strategies
Vector databases and hybrid search
Evaluation and feedback loops
Partner with Data Engineering teams to ensure
for AI-driven systems.
of GenAI systems:
API-first design (FastAPI / REST / event-driven)
CI/CD for LLM workflows
Monitoring, evaluation, and cost tracking
Establish
for faster adoption across EXL accounts.
(Azure / AWS / GCP) for scalable and compliant AI deployments.
for GenAI across delivery teams and client engagements.
Mentor senior engineers, tech leads, and architects on agentic patterns and advanced LLM engineering.
Partner with clients, product owners, and domain SMEs to shape
.
of total experience with
, and
.
Deep hands-on experience with:
Other enterprise LLMs (OpenAI, Mistral, LLaMA, etc.)
Strong command over:
Prompt engineering, prompt orchestration, and agent workflows
Tool/function calling, planning–execution loops
LLM and RAG evaluation techniques (precision, grounding, faithfulness)
Proven experience designing:
Agentic AI systems (ReAct, Plan-and-Execute, multi-agent setups)
RAG architectures using vector databases (FAISS, Pinecone, Chroma, etc.)
Strong understanding of
.
engineering (production-grade systems).
on Azure, AWS, or GCP.
, including:
Data pipelines / ETL / ELT / orchestration
ML or NLP model lifecycle
Analytics platforms or data product engineering
Fine-tuning and adaptation strategies (LoRA / PEFT / prompt tuning).
Experience with
platforms and observability stacks.
(Insurance, Healthcare, BFS).
.
How to apply for Agentic/AI lead/architect with Claude/code/LLM skills1 at Fa Ewjt Saasfaprod1?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
12+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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