{"id":1385040,"url":"https://alion.io/job/dash-hire-senior-software-development-engineer-genai","title":"Senior Software Development Engineer - GenAI","company":{"id":3800225,"name":"Dash Hire","domain":"dashhire.co","url":"https://alion.io/company/dash-hire","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":123},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CloudFormation","optional":false},{"name":"DynamoDB","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-09-28T08:27:06Z","employer_posted_date":null,"last_verified_at":"2026-09-28T08:27:06Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"About the Role:\n\nWe are looking for an experienced Senior Software Development Engineer - GenAI to join our engineering team in Bangalore.\n\nThe ideal candidate will have strong hands-on experience in Python, Large Language Models (LLMs), Generative AI, and Retrieval-Augmented Generation (RAG), along with expertise in building and deploying scalable AI solutions on AWS.\n\nYou will work on designing and developing production-grade GenAI applications, intelligent systems, and cloud-native solutions while collaborating closely with engineering and product teams.\n\nKey Responsibilities:\n\n- Design, develop, and deploy Generative AI applications and intelligent solutions using Python and modern AI/ML technologies.\n\n- Build and optimize LLM-powered applications, workflows, and services for enterprise use cases.\n\n- Design and implement RAG-based systems for knowledge retrieval, contextual generation, and intelligent search.\n\n- Integrate and work with foundation models and Amazon Bedrock to build scalable GenAI applications.\n\n- Develop robust backend services and APIs using Python.\n\n- Design cloud-native and serverless architectures using AWS services.\n\n- Work extensively with AWS services including Lambda, DynamoDB, Amazon Bedrock, CloudWatch, and CloudFormation.\n\n- Develop data pipelines and retrieval workflows to support RAG and LLM-based applications.\n\n- Implement prompt engineering, context management, model evaluation, and optimization techniques.\n\n- Build monitoring, logging, and observability mechanisms for AI applications using Amazon CloudWatch.\n\n- Design scalable and reliable production architectures for GenAI workloads.\n\n- Collaborate with product managers, software engineers, and other stakeholders to translate business requirements into AI-driven solutions.\n\n- Troubleshoot and optimize application performance, reliability, latency, and scalability.\n\n- Conduct code reviews and contribute to engineering standards, architecture decisions, and technical documentation.\n\n- Stay current with emerging developments in Generative AI, LLMs, RAG, AI agents, and cloud-based AI platforms.\n\nRequired Skills:\n\n- 5+ years of experience in software engineering, AI engineering, ML engineering, or a related field.\n\n- Strong hands-on programming experience with Python.\n\n- Strong understanding of Generative AI and Large Language Models (LLMs).\n\n- Practical experience designing and implementing RAG architectures and applications.\n\n- Experience with LLM APIs, foundation models, prompt engineering, and model integration.\n\n- Hands-on experience with Amazon Bedrock or similar managed GenAI platforms.\n\n- Strong experience with AWS cloud services, particularly: AWS Lambda, Amazon DynamoDB, Amazon Bedrock, Amazon CloudWatch, and AWS CloudFormation.\n\n- Experience building and deploying scalable, production-grade AI applications.\n\n- Strong understanding of APIs, backend services, cloud-native architectures, and distributed systems.\n\n- Experience with monitoring, logging, debugging, and production support.\n\n- Strong problem-solving and analytical skills.\n\nEducation:\n\n- B. Tech / B. E. in Computer Science, Information Technology, Artificial Intelligence, or a related engineering discipline.\n\n- Graduates from Tier-1 engineering institutes preferred.\n\nSkills\nPython, Generative AI, AWS, RAG, AWS Lambda, DynamoDB, LLM, AWS Bedrock, Prompt Engineering","description_format":"text","description_chars":3375,"description_truncated":false,"requirements":{"experience_years_min":5,"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":[],"lifecycle":[{"event":"open","at":"2026-09-28T10:00:24Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":42,"reasons":["seen:2","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/dash-hire-senior-software-development-engineer-genai","json_url":"https://alion.io/job/dash-hire-senior-software-development-engineer-genai.json","meta":{"generated_at":"2026-10-01T19:08:53Z","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":1608,"day_limit":5000,"remaining_today":3392,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}