Python Developer – AI Implementation & Optimization Specialist

Job Title

We are seeking a highly skilled Python Developer with a strong focus on AI integration, prompt engineering, and AWS Bedrock optimization to join our AI-native healthcare team. The ideal candidate will bring 3–5 years of Python experience with a deep understanding of LLM configuration, token cost optimization, and compliance-first AI development in regulated healthcare environments.

At Atcuality, you’ll be instrumental in scaling LLM-powered systems for clinical intelligence, agent orchestration, and real-time decision support.

Key Responsibilities AI Implementation & Integration

• Integrate LLMs via AWS Bedrock, OpenAI, or Claude APIs for clinical use cases
• Build scalable, secure Python APIs and wrappers for model consumption
• Implement streaming AI responses and fallback mechanisms for fail-safe delivery
• Configure multi-agent decision orchestration for healthcare workflows
• Build prompt+context orchestration layers that ensure factual accuracy and compliance

AWS Bedrock Configuration & Management

• Set up and manage Bedrock endpoints for Claude, Titan, and Llama 3
• Configure access control, PrivateLink, VPC endpoints, and model A/B testing
• Monitor performance, scaling, latency, and token metrics in real time
• Implement model versioning and failover strategies

 Token Optimization & Cost Control

• Build systems for token counting, estimation, and analytics
• Develop prompt compression, token-aware caching, and context window managers
• Implement budgeted inference logic for controlled spending
• Monitor token usage via dashboards and alerts

Prompt Engineering & Optimization

• Design healthcare-safe prompts using few-shot, chain-of-thought, and constitutional AI strategies
• Create dynamic prompt builders, version control, and testing harnesses
• Implement prompt injection detection and sanitization
• Measure and improve prompt accuracy, safety, and efficiency

 Healthcare AI Compliance & Security

• Ensure HIPAA and PHI security in all prompt interactions and API calls
• Integrate PHI redaction, audit trails, and explanation consistency
• Implement content filtering, reasoning traceability, and medical fact validation
• Design AI systems that comply with FHIR, HITECH, and HITRUST controls

Technical Implementation

• Write clean, modular, and async-friendly Python 3.10+ code
• Use FastAPI, Pydantic, and LangChain for LLM orchestration
• Build comprehensive test suites using Pytest
• Maintain documentation for all AI-based endpoints and workflows
• Optimize for low-latency and production-scale LLM workloads

Required Qualifications Technical Skills

• 3–5 years of Python development, with focus on backend AI systems
• 1+ years of LLM experience (OpenAI, Claude, Llama, or similar)
• Hands-on with AWS Bedrock or equivalent managed LLM service
• Strong understanding of prompt engineering and token budgets
• Proficiency with asyncio, aiohttp, and async concurrency patterns
• REST API development using FastAPI or Flask

Core Competencies

• Understanding of transformers, attention mechanisms, and LLM internals
• Familiarity with LangChain, LlamaIndex, embedding models, and vector stores
• Experience with retrieval-augmented generation (RAG) patterns
• Ability to handle streamed responses, retries, and multi-agent orchestration
• Prompt design for accuracy, context compression, and LLM alignment

Preferred Qualifications

• Healthcare domain experience or exposure to clinical data workflows
• Knowledge of HIPAA, FHIR, DICOM, or ICD-10 medical codes
• Experience with Anthropic Claude API and OpenAI migration strategies
• Proficiency with WebSockets, event-driven agents, and prompt chaining
• Understanding of RLHF, constitutional AI, or reward modeling
• Experience with model quantization, optimization, or open-source AI tools
• Contributions to open-source LLM or prompt engineering frameworks

Technical Environment

• Languages: Python 3.10+, TypeScript (for frontend integrations)
• AI Platforms: AWS Bedrock, OpenAI, Claude
• Frameworks: FastAPI, LangChain, Pydantic, asyncio
• Vector DBs: Pinecone, Weaviate
• Databases: PostgreSQL, Redis
• Monitoring: Datadog, CloudWatch, Weights & Biases
• Infrastructure: AWS, Docker, Kubernetes
• Version Control: Git, GitHub, GitLab

 What We Offer

• Competitive salary based on experience and impact
• Comprehensive health, dental, and vision insurance
• Flexible remote/hybrid work setup with Jamshedpur base
• Stock options and equity participation in the company’s AI product stack
• Work on impactful, compliant AI healthcare systems
• Paid time off, wellness support, and parental leave policies

Application Requirements

Please email the following to career@atcuality.com:

• Updated resume focused on Python, AI integration, and LLM usage
• GitHub portfolio or code samples showing AI/LLM-related work
• Short cover letter explaining your prompt engineering philosophy
• Blog posts or public demos (if applicable)

Interview Process

• Initial HR screening call (30 mins)
• Python + AI coding task (take-home or live)
• LLM and prompt engineering deep dive (90 mins)
• System design for AI workflow orchestration (60 mins)
• Live prompt optimization exercise (45 mins)
• Team culture fit interview (45 mins)
• Reference checks + offer 

Why This Role Matters

You’ll help define how AI thinks, responds, and behaves in a clinical setting — shaping intelligent systems that assist doctors, empower patients, and accelerate digital healthcare. Your code won’t just talk to models — it’ll help save lives.

Aarna Tech Consultants Pvt. Ltd. (Atcuality) is an equal opportunity employer.

We encourage applicants from diverse and non-traditional tech backgrounds to apply.