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Milestone Technologies, Inc
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Senior AI Engineer

Senior AI Engineer

Milestone Technologies, Inc

1 - 2 years

8 - 12 Lacs

hyderabad

Posted:11 hours ago| Platform:

Apply

Skills Required

backend git circuit breakers coding schema json data quality python auditing

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Overview

We re hiring an

Senior AI Engineer

to build production-grade components for an AI-first, data-centric platform. You will implement agentic capabilities (intent, planner, router/composer), integrate knowledge-graph reasoning alongside a strong RAG baseline, and instrument robust evaluation and observability. The ideal candidate writes clean, reliable code, understands LLM systems and data retrieval trade-offs, and can optimize for latency, quality, and cost.

Key Responsibilities

Agent Implementation:
Build and harden
Intent
,
Planner
, and
Router/Composer
agents with typed JSON I/O, retries/timeouts, and idempotency; emit call-graph traces and correlation IDs.
Knowledge-Graph Reasoning:
Generate correct graph queries (
SPARQL/Gremlin/PGQL
) from planner outputs; perform subgraph extraction; encode rationale and references in responses.
RAG Baseline & Retrieval:
Implement document prep, chunking/embeddings, hybrid retrieval and (where available) reranking; maintain a high-quality baseline path for side-by-side comparisons.
Prompt/Config Tuning:
Version and tune prompts, routing policies (small large model escalation), temperature/top-p settings, and caching; document routing outcomes and cost/latency budgets.
Evaluation Hooks:
Integrate test sets and scoring (faithfulness/correctness, precision/recall, multi-hop coverage, latency); enable
automated re-evaluation
on any change (model/agent/prompt/data).
Observability & Cost Controls:
Instrument traces/metrics/logs (token usage, latency P50/P95, error codes); surface cost-per-answer dashboards; implement backpressure and graceful degradation.
Security & Guardrails:
Enforce policy-as-code and entitlement checks (role/row/column), PII/PHI handling, content moderation, and HITL approval prompts for state-changing actions.
Quality & CI/CD:
Write unit/integration/contract tests; participate in PR reviews; ship via CI/CD with feature flags and environment promotion; maintain API/connector schemas and docs.

Required Skills

Applied LLM Engineering:
1-2+ years building production services; hands-on with LLM tool/function-calling, agent frameworks, and prompt/version management.
Knowledge & Retrieval:
Practical experience with
Knowledge Graphs
(RDF/SPARQL or property graph/Gremlin) and
RAG
pipelines (chunking, embeddings, retrieval/reranking).
Data/Model Ecosystem:
One or more vector DBs (pgvector, Pinecone, Weaviate, Milvus) and search (OpenSearch/Elasticsearch); familiarity with major model platforms (Azure OpenAI, Vertex, Anthropic, open-weights).
Backend Skills:
Proficiency in
Python
and/or
TypeScript/Node.js
; strong REST/gRPC API design, JSON Schema/OpenAPI, retries/backoff/idempotency, and error taxonomies.
Observability & Reliability:
OpenTelemetry (traces/metrics/logs), performance profiling, resiliency patterns (circuit breakers, bulkheads, DLQ/queues).
Security by Design:
OIDC/SSO, secrets management, least-privilege access, audit logging, and secure coding for AI/data services.
CI/CD & Testing:
Git-based workflows, automated pipelines, unit/integration/contract tests, and environment promotion practices.

Good to Have Skills

Ontology & Data Quality:
SHACL/OWL basics, ontology stewardship, lineage/provece capture, and data quality checks for KG/RAG pipelines.
Evaluation Engineering:
Judge-model setups, A/B testing, rubric design, and regression dashboards.
Performance & FinOps:
Async I/O, caching strategies, connection pooling, and token/runtime budget enforcement.
Runtime & Platform:
Containers/Kubernetes, service mesh/API gateways, feature flags, blue/green or canary releases.
UX for Explainability:
Collaborating on rationale/explanations (source lists, subgraph summaries) and clear HITL approval prompts.

This role is ideal for a hands-on engineer who enjoys turning advanced reasoning patterns into robust, observable services-balancing quality, safety, and cost at enterprise scale.

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Milestone Technologies, Inc

Information Technology and Services

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Senior AI Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Job Overview

Senior AI Engineer

Key Responsibilities

Agent Implementation:

Intent

Planner

Router/Composer

Knowledge-Graph Reasoning:

SPARQL/Gremlin/PGQL

RAG Baseline & Retrieval:

Prompt/Config Tuning:

Evaluation Hooks:

automated re-evaluation

Observability & Cost Controls:

Security & Guardrails:

Quality & CI/CD:

Required Skills

Applied LLM Engineering:

Knowledge & Retrieval:

Knowledge Graphs

RAG

Data/Model Ecosystem:

Backend Skills:

Python

TypeScript/Node.js

Observability & Reliability:

Security by Design:

CI/CD & Testing:

Good to Have Skills

Ontology & Data Quality:

Evaluation Engineering:

Performance & FinOps:

Runtime & Platform:

UX for Explainability:

More Jobs at Milestone Technologies, Inc