As an AI Software Developer, you will design, develop, and own end to end AI solutions for Dark NOC, an AI driven automation platform for customer operations support. You will be responsible for full stack AI development, covering model integration, application logic, APIs, workflows, and production readiness.
In this role, you will work closely with the Project Manager to translate business and operational requirements into scalable, reliable, and automated AI capabilities. You will build and productionize solutions leveraging LLMs, NLP, RAG based systems, and automation workflows to enable proactive issue detection, intelligent troubleshooting, and autonomous operations.
You will take complete ownership of the development lifecycle from design and implementation to testing, deployment, and optimization ensuring the Dark NOC platform delivers secure, cost efficient, measurable, and SLA aligned AI automation for enterprise customer operations.
Minimum Qualifications & Experience
Bachelor s degree in computer science / AI / Data Science engineering
5-10 years of experience

Proficiency in Python programming
Strong experience developing AI-driven automation solutions using LLMs/NLP (LLaMA, Mistral, Falcon, Claude Sonnet) and RAG-based architectures
Hands-on knowledge of LangChain / LlamaIndex prompt engineering function calling embeddings, including prompt design, validation, and response quality evaluation
Experience integrating AI models using LLM function/tool calling APIs for automated decision-making and actions
Strong programming skills in Python, Node.js, or building scalable APIs and services
Solid hands-on experience with REST and gRPC APIs, including:
MLOps / DevOps:
CI/CD (GitHub / GitLab / Azure DevOps)
Docker
Kubernetes
Token hygiene
Hands-on experience using:
Visual Studio Code (preferred for Python)
Visual Studio (with Python workload)
C#/.NET or Python development, including debugging, code reviews,



and collaborative development workflows
Hand-on development experience with MySQL or PostgreSQL

VS Code + Python
FastAPI programming
LLM (voice bot & omnichannel CX integration)
Linux development

Build full stack AI capabilities: model integration (LLMs/NLP), orchestration logic, APIs/services, and workflow automation.
Implement RAG pipelines (data ingestion, chunking, embeddings, vector search) and tool/function calling for autonomous actions.
Design and maintain prompts, system policies, and tool schemas evaluate and refine prompts for accuracy and reliability.
Implement guardrails (policy enforcement, PII masking, safety filters) and quality evaluation (e.g., Data Engineering for Dark NOC
Build data ingestion & transformation for logs, alerts, tickets, and knowledge bases.
Maintain feature/knowledge freshness SLAs and data contracts with upstream systems.
Integration with New Relic, Service Now, Email, chat, REST API for end-to-end automation.
Testing, Quality & Evaluations
Implement unit/integration/e2e tests, plus AI evaluations (groundedness, hallucination, toxicity).
Create offline and shadow/A B evaluations for prompts, models, and RAG changes before production rollout.
Define acceptance criteria with the Project Manager maintain a robust regression suite.
CI/CD & Operations Ready Builds
Containerize services (Docker) and deploy to Kubernetes with observability hooks and resource limits.
Collaboration & Delivery Management
Work closely with the Project Manager on scope, estimations, milestones, and risk tracking.
Partner with platform, infra, and data teams to unblock dependencies and align environments and SLAs.
Production Support (L3 Level)
Support pre prod validations and production rollouts analyze incidents with traces/logs and drive code fixes.
Certification - Generative AI with Large Language Models or LLMOps
Certified in C# (.NET) or Python
Certification or deep knowledge of SDLC, Agile, or Kubernetes

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