{"id":124143,"url":"https://alion.io/job/aisensy-senior-python-developer","title":"Senior Python Developer","company":{"id":13319,"name":"Aisensy","domain":"aisensy.com","url":"https://alion.io/company/aisensy","size_band":null,"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":17500,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":139},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false}],"status":"live","first_seen_at":"2026-08-26T01:23:02Z","employer_posted_date":null,"last_verified_at":"2026-08-26T01:23:02Z","board_verified":false,"closed_at":null,"days_open":52,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":52},"description":"As a Senior Python Developer (L6), you will play a key role in designing and building scalable backend platforms while driving the adoption of generative AI, LLMs, and agentic workflows across engineering solutions. This is a hands-on senior engineering role requiring strong expertise in Python, backend architecture, distributed systems, API design, and cloud-native engineering, combined with practical experience integrating modern AI capabilities into production systems. You will work closely with product, data, AI/ML, and DevOps teams to translate complex business requirements into reliable, scalable, and observable engineering solutions.\nResponsibilities:\nArchitect and develop secure, scalable, and highly available backend systems using Python.\nDrive HLD/LLD, system design, API architecture, modularity, fault tolerance, and scalability across backend services.\nDesign and build REST APIs and microservices using Python frameworks such as FastAPI.\nIntegrate LLMs and generative AI capabilities into production applications and backend workflows.\nBuild reliable AI-powered systems with appropriate mechanisms to reduce hallucinations, improve reliability, and ensure predictable outputs.\nDesign and implement agentic workflows and AI-driven automation for business and engineering use cases.\nWork hands-on with the OpenAI developer ecosystem, including APIs such as Completions, Responses, and Files, along with tools/SDKs such as Agents SDK and Web Search.\nImplement and improve AI agent debugging, tracing, evaluation, and monitoring using platforms such as Phoenix, LangSmith, or similar tools.\nDesign and optimize integrations with PostgreSQL and other data stores supporting real-time and batch workloads.\nBuild and integrate data pipelines and ETL workflows, including movement of data between cloud platforms such as GCP and PostgreSQL.\nDrive performance optimization, reliability, observability, logging, monitoring, and alerting across backend services.\nEstablish engineering standards around code quality, testing, code reviews, and maintainability.\nDevelop comprehensive unit, integration, and functional test suites for high-reliability systems.\nBuild and maintain CI/CD pipelines supporting automated testing, deployments, rollback, and production health.\nPartner with Product, Data, Business, AI/ML, and DevOps teams to deliver scalable solutions.\nMentor engineers, conduct technical reviews, and contribute to a culture of engineering excellence and continuous improvement.\nStay current with emerging GenAI, LLM, agentic AI, and developer productivity technologies and identify opportunities to apply them effectively.\nRequirements:\n8-12 years of professional software development experience, with strong hands-on experience in Python.\nExpert-level proficiency in Python and strong experience with backend frameworks such as FastAPI.\nProven experience designing and building large-scale backend systems, REST APIs, and microservices.\nStrong understanding of system design, distributed systems, scalability, fault tolerance, and performance optimization.\nHands-on experience with LLMs, generative AI, AI integrations, and agentic workflows in production or real-world applications.\nPractical experience with the OpenAI developer ecosystem, including APIs, SDKs, and AI tooling.\nExperience with AI observability/debugging platforms such as Phoenix, LangSmith, or equivalent.\nStrong experience working with PostgreSQL and other relational/non-relational databases.\nExperience with data pipelines, ETL processes, and batch/real-time data workflows.\nStrong understanding of automated testing, code quality, observability, logging, monitoring, and alerting.\nHands-on experience building and maintaining CI/CD pipelines.\nExperience working with cloud platforms, preferably GCP, and cloud-native architectures.\nStrong understanding of API security, authentication, authorization, and backend security best practices.\nStrong problem-solving and analytical skills with the ability to make sound technical decisions.\nExcellent communication and stakeholder management skills.\nAbility to mentor engineers and influence technical decisions across 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