{"id":1238878,"url":"https://alion.io/job/employee-hub-solution-engineer","title":"Solution Engineer","company":{"id":3800271,"name":"Employee Hub","domain":"employehub.com","url":"https://alion.io/company/employee-hub","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"DynamoDB","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-09-17T07:53:41Z","employer_posted_date":null,"last_verified_at":"2026-09-17T07:53:41Z","board_verified":false,"closed_at":null,"days_open":13,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":13},"description":"AI/ML Solution Engineer\n\nLocation : Gurgaon\n\nWork Model : Hybrid - 3 days from office\n\nShift : Second Shift - 2:30 PM to 10:30 PM\n\nExperience : 3 - 5 Years\n\nRole Overview :\n\nWe are looking for an experienced AI/ML Solution Engineer with 3 - 5 years of hands-on experience in AI/ML, Generative AI, AWS, Python, LLMs, RAG, and AI agent-based solutions. The ideal candidate should have strong practical experience in building and delivering AI/GenAI solutions, with a good understanding of Machine Learning concepts, model evaluation, AI Evals, observability, and responsible AI. Python is mandatory. Familiarity with Java is preferred.\n\nKey Responsibilities :\n\n- Design, develop, deploy, and maintain cloud-native applications and services on AWS.\n\n- Build and integrate Generative AI solutions using Amazon Bedrock, Amazon SageMaker, and Bedrock AgentCore.\n\n- Develop AI agents and multi-agent workflows using Bedrock Agents, AgentCore, AWS Strands SDK, LangChain, LangGraph, or similar frameworks.\n\n- Build AI-powered applications using LLMs, RAG architectures, and agent-based solutions.\n\n- Develop scalable and resilient event-driven solutions using EventBridge, SQS, SNS, Lambda, and Step Functions.\n\n- Design and develop REST APIs, microservices, and serverless applications following AWS best practices.\n\n- Implement data storage and retrieval solutions using RDS, Aurora, DynamoDB, and S3.\n\n- Partner with architects and engineering teams to translate business requirements into technical solutions.\n\n- Contribute to system design, architecture reviews, and technical discussions.\n\n- Troubleshoot production issues and optimize application performance, reliability, scalability, and cost.\n\n- Develop infrastructure automation and CI/CD pipelines using Infrastructure as Code principles.\n\n- Implement AI observability to monitor model performance, prompt effectiveness, response quality, latency, usage patterns, and application health.\n\n- Develop and execute AI Evaluation (AI Evals) frameworks to assess model accuracy, relevance, groundedness, safety, response quality, and overall GenAI/agent effectiveness.\n\n- Establish monitoring, logging, tracing, and evaluation mechanisms to identify hallucinations, drift, performance issues, and reliability concerns.\n\n- Implement AI guardrails, content safety controls, auditability, and risk management processes.\n\n- Follow enterprise AI governance, data privacy, security, compliance, and responsible AI practices.\n\nMandatory Skills :\n\n- 3 - 5 years of relevant experience in AI/ML / GenAI solution engineering\n\n- Strong hands-on Python development\n\n- Hands-on experience delivering AI/Generative AI solutions\n\n- Strong understanding of Machine Learning concepts\n\n- Practical knowledge of AI Model Evaluation / AI Evals\n\n- Experience with LLMs, RAG, prompt engineering, and AI agents\n\n- Hands-on experience with AWS AI/ML services, preferably Bedrock and SageMaker\n\n- Experience with Bedrock AgentCore / AI agent frameworks\n\n- Knowledge of LangChain, LangGraph, AWS Strands SDK, or similar frameworks\n\n- Understanding of cloud-native architecture and distributed systems\n\n- Experience with REST APIs, microservices, and serverless architecture\n\n- Understanding of event-driven architecture\n\n- Strong system design and problem-solving skills\n\nPreferred Skills :\n\n- Familiarity with Java\n\n- AWS services such as Lambda, S3, SQS, SNS, EventBridge, Step Functions, DynamoDB, RDS, and Aurora\n\n- CI/CD and Infrastructure as Code\n\n- AI observability and monitoring\n\n- AI guardrails and responsible AI\n\n- Experience with production-grade GenAI applications\n\nSkills\nPython, AWS, Machine Learning, LangChain, LangGraph, Generative AI, Java, AWS SageMaker, LLM, Artificial Intelligence","description_format":"text","description_chars":3726,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Human Resources","Recruiting & Staffing"],"lifecycle":[{"event":"open","at":"2026-09-25T16:00:00Z"}],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":1,"p_active":0.756,"p_room":0.75,"age_days":12,"expected_fill_days":17,"reasons":["seen:12","velocity","win:late"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/employee-hub-solution-engineer","json_url":"https://alion.io/job/employee-hub-solution-engineer.json","meta":{"generated_at":"2026-10-01T01:20:37Z","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":893,"day_limit":5000,"remaining_today":4107,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}