tech lead (software engineer)

توضیحات آگهی

Argoman is a venture studio focused on building AI driven products and startups We operate like a startup factory identifying high potential ideas validating them through research and experimentation and turning them into scalable businesses Our team combines innovation technology and business insight to create real world solutions powered by artificial intelligence At Argoman you ll be part of a dynamic and collaborative environment where ideas grow into products and products evolve into independent companies What You ll Do As a Technical Lead you will serve as the technical representative and engineering leader for one or more product squads You will work closely with product AI data and design to transform ideas into scalable products and startups In addition to hands on software engineering you will be responsible for shaping technical direction evaluating product feasibility defining architectures estimating delivery efforts and guiding engineering teams through execution Because we operate as a venture studio you will play a critical role during the earliest stages of product development helping validate ideas define technical roadmaps select appropriate technologies and determine the team composition required to successfully build and scale products You will act as the bridge between product goals and technical execution ensuring that products are built efficiently pragmatically and with long term scalability in mind Responsibilities Technical Leadership Product Strategy Act as the primary technical representative for a product squad Collaborate closely with product stakeholders to assess the technical feasibility of new product ideas and initiatives Serve as the bridge between the product team and the engineering team ensuring alignment between product goals and technical execution Define technical roadmaps implementation plans architecture strategies and technology stacks for new products and initiatives Evaluate and recommend appropriate frameworks libraries infrastructure and development approaches based on product requirements Provide accurate engineering effort estimates delivery timelines staffing requirements and technical risk assessments Identify technical dependencies bottlenecks and scaling challenges early in the product lifecycle Guide engineering teams through architectural decisions while empowering engineers to own implementation details AI Native Product Development Design and build AI powered systems using modern LLMs agentic workflows retrieval systems automation pipelines and orchestration frameworks Evaluate emerging AI tools frameworks and platforms identifying opportunities to improve product capabilities and engineering productivity Establish best practices for integrating AI technologies into production systems Help teams leverage AI assisted development workflows and modern engineering tooling effectively Team Leadership Execution Provide technical guidance mentoring and support to engineers across disciplines Coordinate with frontend backend DevOps AI data and product contributors to ensure successful product delivery Identify capability gaps within teams and determine when specialized expertise is required Participate in hiring technical interviews onboarding and engineering growth initiatives Foster a culture of ownership continuous learning technical excellence and pragmatic decision making Hands On Engineering Contribute directly to the design development and maintenance of production systems Build and maintain backend services APIs internal platforms and supporting infrastructure Review code architecture and technical designs to ensure maintainability reliability and scalability Support deployments production troubleshooting observability and system reliability initiatives Ensure engineering teams deliver clean testable and production grade software Required Skills Experience Strong software engineering experience with Python and or TypeScript Proven experience leading technical initiatives and guiding engineering teams through product delivery Strong understanding of software architecture distributed systems and scalable system design Ability to define technical roadmaps implementation strategies and engineering plans for new products Experience estimating project scope delivery timelines engineering effort and team composition Strong familiarity with modern AI tooling LLM ecosystems agentic workflows AI assisted development practices and production AI systems Broad engineering knowledge across backend frontend infrastructure DevOps cloud platforms databases and software delivery practices Ability to identify missing technical capabilities make informed trade offs and delegate effectively to specialists when necessary Hands on experience with Docker and containerized applications Familiarity with Node js and TypeScript ecosystems Experience with observability and monitoring platforms such as Prometheus Grafana Sentry or Datadog Experience with asynchronous systems messaging platforms and task queues Celery RabbitMQ Redis Kafka etc Strong communication skills and the ability to collaborate with technical and non technical stakeholders Nice to Have Experience building AI native products AI agents RAG systems or LLM powered applications Experience working in startups venture studios or fast moving product organizations Familiarity with cloud infrastructure CI CD pipelines infrastructure as code and DevOps practices Experience evaluating new markets validating product ideas and participating in early stage product discovery Experience leading cross functional teams through ambiguity and rapid iteration تهران تهران امیرآباد تمام وقت ونچر استودیوی آرگومان مدیر میانی جنسیت تفاوتی ندارد فناوری اطلاعات نرم افزار و سخت افزار