{"id":1303153,"url":"https://alion.io/job/trackmind-python-developer-generative-ai-aws","title":"Python Developer – Generative AI & AWS","company":{"id":3809928,"name":"Trackmind","domain":"trackmind.com","url":"https://alion.io/company/trackmind","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-27T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Cohere SDK","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"Embeddings","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Tokenization","optional":false},{"name":"Angular","optional":true},{"name":"Apache Kafka","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Pinecone","optional":true},{"name":"Qdrant","optional":true},{"name":"React.js","optional":true},{"name":"TypeScript","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-09-16T07:09:00Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-09-28T00:14:55Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"We are looking for an experienced Python Developer with strong expertise in AWS, Generative AI, LLMs, and Microservices Architecture. The ideal candidate should have hands-on experience developing scalable Python applications, integrating AWS services, and building AI-powered solutions using Large Language Models such as GPT and Cohere.\nThe role involves developing scalable backend services, implementing LLM-based applications and RAG solutions, building document-processing pipelines, and supporting automated CI/CD deployments in a cloud environment.\nKey Responsibilities:\nDesign, develop, test, and maintain scalable backend applications and REST APIs using Python.\nIntegrate Python applications with AWS services including Lambda, S3, API Gateway, ECS, EKS, EC2, DynamoDB, RDS, SQS, SNS, CloudWatch, and IAM.\nDevelop AI-powered applications using LLMs such as GPT and Cohere.\nBuild and optimize prompt workflows, embeddings, semantic search, and Retrieval-Augmented Generation (RAG) solutions.\nImplement document-processing pipelines using chunking, segmentation, tokenization, and metadata enrichment techniques.\nDesign and optimize different document chunking strategies, including fixed-size, recursive, semantic, and context-aware chunking, based on data type and use case.\nDevelop and maintain RESTful APIs and event-driven microservices.\nDesign scalable and reliable backend services using microservices architecture.\nPackage and deploy applications using Docker and container orchestration platforms such as ECS/EKS where applicable.\nDevelop and maintain CI/CD pipelines for automated testing, deployment, and release management.\nMonitor application performance and troubleshoot production issues to improve reliability, scalability, and performance.\nFollow secure coding practices and AWS best practices for IAM, access control, logging, monitoring, and application security.\nWrite and maintain unit, integration, and end-to-end tests.\nCollaborate with AI/ML engineers, Data Scientists, DevOps teams, Product Managers, and other stakeholders.\nPrepare and maintain clear technical documentation, API documentation, and architecture details.\n\nRequired Skills\nStrong hands-on experience with Python.\nGood knowledge of OOP, data structures, and backend development.\nStrong experience developing REST APIs and microservices.\nHands-on experience with AWS cloud services.\nExperience with Generative AI, LLMs, GPT, Cohere, embeddings, and RAG.\nStrong understanding of prompt engineering and LLM integration.\nExperience with document processing, chunking, segmentation, tokenization, and semantic search.\nExperience with Docker and CI/CD pipelines.\nGood understanding of cloud security, IAM, monitoring, and logging.\nExperience with SQL and relational databases, preferably PostgreSQL.\n\nGood to Have\nWorking knowledge of React.js.\nWorking knowledge of Angular.\nExperience with PostgreSQL and database optimization.\nExperience with vector databases such as Pinecone, Qdrant, Weaviate, or similar.\nExperience with LangChain, LangGraph, or similar GenAI frameworks.\nKnowledge of Kubernetes and cloud-native application development.\nExperience with event-driven architectures using SQS, SNS, Kafka, or similar messaging platforms.\nPreferred Candidate Profile\nStrong problem-solving and analytical skills.\nGood understanding of enterprise application development.\nAbility to work independently as well as collaborate with cross-functional teams.\nGood communication skills.\nWillingness to learn and work with emerging AI technologies.","description_format":"text","description_chars":3535,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Biotechnology","Machine Learning"],"lifecycle":[{"event":"open","at":"2026-09-26T12:24:44Z"}],"liveness":{"score":67,"band":"ok","label":"Likely open","p_open":1,"p_active":0.746,"p_room":0.9,"age_days":10,"expected_fill_days":21,"reasons":["conf:2","velocity","win:mid"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/trackmind-python-developer-generative-ai-aws","json_url":"https://alion.io/job/trackmind-python-developer-generative-ai-aws.json","meta":{"generated_at":"2026-09-28T04:24:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2667,"day_limit":5000,"remaining_today":2333,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}